可視化

クラスタサイズ(論文数)

25

クラスタの分野

2600:Mathematics
(比率: 36.9 %)

発行年ごと論文数

著者正規化top50

著者正規化top50の共著関係

タイトル語top50

タイトル語top50の共起

ジャーナル一覧

ジャーナル分野比率


論文リスト

DOI タイトル 著者 ジャーナル 発行年 科研費成果論文
10.1002/jmri.27078 Artificial Intelligence For Mr Image Reconstruction: An Overview For Clinicians Lin, Dana J.; Johnson, Patricia M.; Knoll, Florian; Lui, Yvonne W., 0000-0002-9984-9164 Journal Of Magnetic Resonance Imaging 2020 NA
10.1002/mrm.28338 Advancing Machine Learning For Mr Image Reconstruction With An Open Competition: Overview Of The 2019 Fastmri Challenge Knoll, Florian, 0000-0001-5357-8656; Murrell, Tullie; Sriram, Anuroop; Yakubova, Nafissa; Zbontar, Jure; Rabbat, Michael; Defazio, Aaron; Muckley, Matthew J., 0000-0002-6525-8817; Sodickson, Daniel K.; Zitnick, C. Lawrence; Recht, Michael P. Magnetic Resonance In Medicine 2020 NA
10.1007/s00211-019-01051-9 Correcting For Unknown Errors In Sparse High-Dimensional Function Approximation Adcock, Ben; Bao, Anyi; Brugiapaglia, Simone Numerische Mathematik 2019 NA
10.1007/s40305-019-00287-4 A Review On Deep Learning In Medical Image Reconstruction Zhang, Hai-Miao; Dong, Bin, 0000-0003-1295-3362 Journal Of The Operations Research Society Of China 2020 NA
10.1016/j.acha.2017.05.005 Compressed Sensing With Structured Sparsity And Structured Acquisition Boyer, Claire; Bigot, Jeremie; Weiss, Pierre Applied And Computational Harmonic Analysis 2019 NA
10.1016/j.acha.2017.05.006 Compressed Sensing With Local Structure: Uniform Recovery Guarantees For The Sparsity In Levels Class Li, Chen; Adcock, Ben Applied And Computational Harmonic Analysis 2019 NA
10.1016/j.neunet.2018.08.019 Optimal Approximation Of Piecewise Smooth Functions Using Deep Relu Neural Networks Petersen, Philipp, 0000-0003-3566-1020; Voigtlaender, Felix Neural Networks 2018 NA
10.1016/j.zemedi.2018.11.002 An Overview Of Deep Learning In Medical Imaging Focusing On Mri Lundervold, Alexander Selvikvag; Lundervold, Arvid Zeitschrift Fur Medizinische Physik 2019 NA
10.1017/s0962492919000059 Solving Inverse Problems Using Data-Driven Models Arridge, Simon; Maass, Peter; Oktem, Ozan; Schonlieb, Carola-Bibiane Acta Numerica 2019 NA
10.1073/pnas.1907377117 On Instabilities Of Deep Learning In Image Reconstruction And The Potential Costs Of Ai Antun, Vegard; Renna, Francesco; Poon, Clarice; Adcock, Ben; Hansen, Anders C. Proceedings Of The National Academy Of Sciences 2020 NA
10.1088/1361-6420/ab10ca Learning The Invisible: A Hybrid Deep Learning-Shearlet Framework For Limited Angle Computed Tomography Bubba, Tatiana A, 0000-0003-0020-9210; Kutyniok, Gitta, 0000-0001-9738-2487; Lassas, Matti, 0000-0003-2043-3156; Marz, Maximilian, 0000-0002-6623-2467; Samek, Wojciech, 0000-0002-6283-3265; Siltanen, Samuli, 0000-0002-5988-5232; Srinivasan, Vignesh Inverse Problems 2019 NA
10.1088/1361-6560/ab6f51 An Introduction To Deep Learning In Medical Physics: Advantages, Potential, And Challenges Shen, Chenyang, 0000-0001-6490-6555; Nguyen, Dan, 0000-0002-9590-0655; Zhou, Zhiguo; Jiang, Steve B; Dong, Bin; Jia, Xun Physics In Medicine & Biology 2020 NA
10.1109/jproc.2019.2936204 Image Reconstruction: From Sparsity To Data-Adaptive Methods And Machine Learning Ravishankar, Saiprasad, 0000-0002-5792-5827; Ye, Jong Chul, 0000-0001-9763-9609; Fessler, Jeffrey A., 0000-0001-9998-3315 Proceedings Of The Ieee 2020 NA
10.1109/msp.2019.2943645 Optimization Methods For Magnetic Resonance Image Reconstruction: Key Models And Optimization Algorithms Fessler, Jeffrey A., 0000-0001-9998-3315 Ieee Signal Processing Magazine 2020 NA
10.1109/msp.2019.2949470 Plug-And-Play Methods For Magnetic Resonance Imaging: Using Denoisers For Image Recovery Ahmad, Rizwan; Bouman, Charles A., 0000-0001-8504-0383; Buzzard, Gregery T.; Chan, Stanley, 0000-0001-5876-2073; Liu, Sizhuo; Reehorst, Edward T., 0000-0003-3882-9319; Schniter, Philip, 0000-0003-0939-7545 Ieee Signal Processing Magazine 2020 NA
10.1109/msp.2019.2950433 Compressed Sensing: From Research To Clinical Practice With Deep Neural Networks: Shortening Scan Times For Magnetic Resonance Imaging Sandino, Christopher M., 0000-0002-8360-0153; Cheng, Joseph Y., 0000-0002-6559-0473; Chen, Feiyu; Mardani, Morteza, 0000-0002-3788-137X; Pauly, John M., 0000-0001-5918-4172; Vasanawala, Shreyas S. Ieee Signal Processing Magazine 2020 NA
10.1109/msp.2019.2950557 Deep Magnetic Resonance Image Reconstruction: Inverse Problems Meet Neural Networks Liang, Dong, 0000-0001-6257-0875; Cheng, Jing; Ke, Ziwen; Ying, Leslie, 0000-0001-9801-1362 Ieee Signal Processing Magazine 2020 NA
10.1109/msp.2019.2950640 Deep-Learning Methods For Parallel Magnetic Resonance Imaging Reconstruction: A Survey Of The Current Approaches, Trends, And Issues Knoll, Florian, 0000-0001-5357-8656; Hammernik, Kerstin; Zhang, Chi; Moeller, Steen; Pock, Thomas; Sodickson, Daniel K.; Akcakaya, Mehmet, 0000-0001-6400-7736 Ieee Signal Processing Magazine 2020 NA
10.1109/tci.2019.2948732 Neumann Networks For Linear Inverse Problems In Imaging Gilton, Davis, 0000-0001-8675-7693; Ongie, Greg; Willett, Rebecca, 0000-0002-8109-7582 Ieee Transactions On Computational Imaging 2020 NA
10.1109/tit.2017.2788445 Robustness To Unknown Error In Sparse Regularization Brugiapaglia, Simone, 0000-0003-1927-8232; Adcock, Ben Ieee Transactions On Information Theory 2018 NA
10.1109/tmi.2018.2887072 Mr Image Reconstruction Using Deep Density Priors Tezcan, Kerem C., 0000-0002-9675-0708; Baumgartner, Christian F., 0000-0002-3629-4384; Luechinger, Roger, 0000-0002-7365-0421; Pruessmann, Klaas P., 0000-0003-0009-8362; Konukoglu, Ender Ieee Transactions On Medical Imaging 2019 NA
10.1126/science.aaw4399 Adversarial Attacks On Medical Machine Learning Finlayson, Samuel G.; Bowers, John D.; Ito, Joichi; Zittrain, Jonathan L.; Beam, Andrew L.; Kohane, Isaac S. Science 2019 NA
10.1137/18m1165748 Deep Learning: An Introduction For Applied Mathematicians Higham, Catherine F.; Higham, Desmond J. Siam Review 2019 NA
10.1142/s0219530518500203 Deep Learning In High Dimension: Neural Network Expression Rates For Generalized Polynomial Chaos Expansions In Uq Schwab, Christoph; Zech, Jakob Analysis And Applications 2018 NA
10.1142/s0219530519410021 Error Bounds For Approximations With Deep Relu Neural Networks In Ws,P Norms Guhring, Ingo; Kutyniok, Gitta; Petersen, Philipp Analysis And Applications 2019 NA